The Analysis and Implementation of Currency Identification System Based on Texture Image Recognition

• Main Authors: Chung-Tang Lu, 呂仲棠
• Other Authors: Rong-Chin Lo
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/7r456d

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === Banknote is a paper currency used at present and it has some problems in use. First, when banknote has been used repeatedly, abrasion, wrinkle and damage will undermine its integrity, which may affect the use continuation; second, counterfeits appear in our life frequently. This study developed a rapid and reliable banknote sorting system base on embedded system ARM11. This system includes banknote denomination recognition, face direction identification and OVD fall-off recognition. In this study we added image recognition features to make up traditional detectors based on sensor for banknote sorting. This banknote identification system has achieved a detection success rate of 97% in denomination and 99% in upside/down identification, and OVD fall-off recognition has detection rate of 91%.